Swiggy Scraper: Live Menu, Price, and Restaurant Data Intelligence

import requests
from bs4 import BeautifulSoup

REQUEST_HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept": "text/html,application/xhtml+xml",
    "Accept-Language": "en-US,en;q=0.8"
}

def fetch_swiggy_menu_data(page_url):
    response = requests.get(page_url, headers=REQUEST_HEADERS, timeout=15)

    if response.status_code != 200:
        print("Failed to fetch page:", response.status_code)
        return None

    soup = BeautifulSoup(response.text, "html.parser")

    restaurant_name = soup.select_one("h1")
    item_name = soup.select_one(".menu-item-name")
    item_price = soup.select_one(".menu-item-price")
    rating_value = soup.select_one(".restaurant-rating")

    menu_data = {
        "Restaurant": restaurant_name.get_text(strip=True) if restaurant_name else "Unavailable",
        "Menu Item": item_name.get_text(strip=True) if item_name else "Unavailable",
        "Price": item_price.get_text(strip=True) if item_price else "Unavailable",
        "Rating": rating_value.get_text(strip=True) if rating_value else "Unavailable"
    }

    return menu_data

# Example Swiggy restaurant or menu page URL
swiggy_page_url = "https://www.swiggy.com/restaurants/sample-page"

data = fetch_swiggy_menu_data(swiggy_page_url)

# Print extracted data
print(data)